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Remote mid-level data role with a common title but specialized GCP skills yields moderate competition.
Strong GCP and BigQuery emphasis increases domain specificity but data skills remain moderately transferable.
Mandated 7-8 years, GCP/BigQuery, ETL tools, IaC and leadership make candidate filters strict.
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Lead and mentor the data engineering team ensuring project delivery and technical excellence.
Design, implement, and optimize scalable ETL/ELT data pipelines, data lakes, and data warehouses on GCP, primarily using BigQuery.
Oversee CI/CD implementation, provide technical guidance during project planning, enforce engineering best practices, and collaborate with multiple teams and stakeholders.
7-8 years of hands-on experience in data engineering, data warehousing, or large-scale software development.
Strong expertise in Google Cloud Platform services including BigQuery, Cloud Composer, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions.
Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a quantitative field.
Experience with ETL/ELT frameworks, data modeling, SQL, CI/CD pipelines, Git workflows, Terraform/IaC, and familiarity with Airflow and DevOps practices.
Demonstrated leadership in managing technical teams and handling client communications within data engineering projects.
Proven ability to manage project delivery timelines, technical risks, and collaborate effectively with architects, business stakeholders, and analysts.
Strong focus on technical quality and operational excellence in cloud-based data engineering environments using GCP tools.